Roberson, Laura A. & Helveston, John P. (2020) “Electric vehicle adoption: can short experiences lead to big change?,” Environmental Research Letters. 15(0940c3). DOI: 10.1088/1748-9326/aba715
Helveston, John P. & Jonas Nahm (2019) “China’s key role in scaling low-carbon energy technologies,” Science, 366(6467), pg. 794-796. DOI: 10.1126/science.aaz1014
Helveston, John P., Yanmin Wang, Valerie J. Karplus, & Erica R.H. Fuchs (2019) “Institutional Complementarities: The Origins of Experimentation in China’s Plug-in Electric Vehicle Industry,” Research Policy, 48(1), pg. 206-222. DOI: 10.1016/j.respol.2018.08.006
Helveston, John P., Stephanie Seki, Jihoon Min, Evelyn Fairman, Arthur A. Boni, Jeremy J. Michalek, & Ines Azevedo (2019) “Choice at the Pump: Measuring Preferences for Lower-Carbon Combustion Fuels,” Environmental Research Letters. 14(8) DOI: 10.1088/1748-9326/ab2bd2
Helveston, John P., Elea M. Feit, & Jeremy J. Michalek (2018) “Pooling Stated and Revealed Preference Data in the Presence of Endogeneity,” Transportation Research Part B: Methodological, 109, pg. 70-89. DOI: 10.1016/j.trb.2018.01.010
Helveston, John P., Yimin Liu, Elea M. Feit, Erica R.H. Fuchs, Erica Klampfl, & Jeremy J. Michalek (2015) “Will subsidies drive electric vehicle adoption? Measuring consumer preferences in the U.S. and China”. Transportation Research Part A: Policy and Practice, 73, 96–112. DOI: 10.1016/j.tra.2015.01.002
Liang, Z., Li, D., Fu, X., Beltekian, D., Helveston, J.P. (2018) “The Co-evolution of MNE R&D Strategies and China’s National Innovation System: A Case Study on Siemens.” 2018 IEEE International Symposium on Innovation and Entrepreneurship (TEMS-ISIE), Beijing. pp. 1-9. DOI: 10.1109/TEMS-ISIE.2018.8478558
Helveston, John P., Wang, Y., Karplus, V. J., & Fuchs, E.R. (2016) “Up, Down, and Sideways: Innovation in China and the Case of Plug-in Electric Vehicles.” Academy of Management Annual Meeting. Anaheim, CA. Aug. 5.
Helveston, John P., Liu, Y., Feit, E.M., Fuchs, E.R., Klampfl, E., & Michalek, J.J. (2014) “Will Subsidies Drive Electric Vehicle Adoption? Measuring Consumer Preferences in the U.S. and China.” National Academies Transportation Research Board Annual Meeting. Washington, D.C. Jan. 13.
Ren, Justin Z. & John P. Helveston (2019) “Measuring Electric Vehicle Infrastructure Among Cities: A Multi-Dimensional Approach.” Melting the ICE: Lessons from China and the West in the Transition from the Internal Combustion Engine to Electric Vehicles. Ed. Fox-Penner, P., Ren, Z.J., & Jermain, D.O. Harvard University Press.
Hatch, Jennifer & John P. Helveston (2019) “Brookline, MA: A Small Town seeking to lead in a Broader EV Charging Network.” Melting the ICE: Lessons from China and the West in the Transition from the Internal Combustion Engine to Electric Vehicles. Ed. Fox-Penner, P., Ren, Z.J., & Jermain, D.O. Harvard University Press.
Helveston, J.P. (2021) “Multinomial Logit Models with Willingness to Pay Space Utility Specifications in R: The {logitr} Package.” Under review.
Davidson, M.R., He, G., Helveston, J.P. (2021) “Quantifying the role of globalized solar photovoltaic supply chains in reaching climate targets.” Under review.
Murphree, Michael, John P. Helveston, & Daniel Breznitz. “Intellectual Property as a Production Input: Expanding Theories of Institutional Change and Profiting from Innovation.” Under review.
Helveston, John P, Lujin Zhao, Saurav Pantha. “Are we there yet? The significance of arrival time uncertainty in multi-modal trip choices.” Working paper.
Theses
Helveston, John P. (2016) “Development and Adoption of Plug-in Electric Vehicles in China: Markets, Policy, and Innovation,” Ph.D. Dissertation, Carnegie Mellon University, Pittsburgh, PA.
Helveston, John P. (aut, cre, cph) (2021). logitr: Random utility logit models with preference and willingness to pay space parameterizations. R package version 0.3.0.
Helveston, John P. (aut, cre, cph) & Aden-Buie, Garrick (aut). (2021). xaringanBuilder: Functions For Building Xaringan Slides To Different Outputs. R package version 0.0.9.
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Text and figures are licensed under Creative Commons Attribution CC BY-SA 4.0. Source code is available at https://github.com/jhelvy/jhelvy.com, unless otherwise noted. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".